4× RTX 3090
145tok/sEveryday
1 request, prose prompt, with DFlash (per recipe) Source
Intelligence34with thinkingno thinking 20
- Experimental
Local AI · Recipe · 4× RTX 3090
Qwen3.8 27B NVFP4 with vLLM on 4× RTX 3090
by alesha-pro
Intelligence (original model) · Artificial Analysis34with thinkingno thinking 20
Engine
- Engine
- vLLM 0.26.0
- Quantization
- NVFP4 (compressed-tensors, Marlin-Kernel auf SM86) + FP8 KV
- Model family
- Qwen3.8
- Context
- 262,144
- Parameters
- 27B dense
- Creator
- alesha-pro
- Repo updated
- Aug 27, 2026
Measurements
Every sourced value of this recipe, each with its condition and source. Bars relative to the largest value in the group.
No sourced measurements for this recipe.
What you need
- Hardware
- 4 × NVIDIA RTX 3090
- Weights
- Main weightsunsloth/Qwen3.8-27B-NVFP4 Apache-2.0
- Engine
- vLLM 0.26.0
- Context
- 262,144 tokens
Sources
- github.com/alesha-pro/qwen38-27b-bench-4x3090/blob/main/QWEN38-FULL-COMPARISON.md
- github.com/alesha-pro/qwen38-27b-bench-4x3090
- github.com/alesha-pro/qwen38-27b-bench-4x3090/blob/main/scripts/verify-headline.log
- github.com/alesha-pro/qwen38-27b-bench-4x3090/blob/main/engine-matrix/vllm-depth-autonomous-qwen38-nvfp4/manifest.json
- github.com/alesha-pro/qwen38-27b-bench-4x3090/blob/main/quality/ATTRIBUTION.md
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